In this practical session, I demonstrated a step-by-step example of a Perceptron, one of the most fundamental models in Artificial Neural Networks (ANN). This video walks you through the logic behind the perceptron learning rule, its training process, and how it performs binary classification using a simple dataset.
Topics Covered:
What is a Perceptron?
Components of a single-layer perceptron
Activation functions and thresholding
Perceptron learning algorithm
Solving a binary classification problem using a perceptron
Manual weight update steps and convergence
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